scholarly journals Modelling the wind energy resource in complex terrain and atmospheres. Numerical simulation and wind tunnel investigation of non-neutral forest canopy flow

2017 ◽  
Vol 166 ◽  
pp. 48-60 ◽  
Author(s):  
Cian J. Desmond ◽  
Simon J. Watson ◽  
Philip E. Hancock
Keyword(s):  
Numerical Simulation ◽  
Wind Tunnel ◽  
Wind Energy ◽  
Complex Terrain ◽  
Forest Canopy ◽  
Energy Resource ◽  
Canopy Flow

Wind Resource Assessment Using a Mesoscale Model: The Effect of Horizontal Resolution

2012 ◽  
Author(s):  
S. Jafari ◽  
T. Sommer ◽  
N. Chokani ◽  
R. S. Abhari
Keyword(s):  
Wind Energy ◽  
Complex Terrain ◽  
Prediction Models ◽  
Weather Prediction ◽  
Energy Resource ◽  
Resource Assessment ◽  
Land Area ◽  
Wind Resource Assessment ◽  
Wind Resource ◽  
Horizontal Grid

Prospecting for wind farm sites and pre-development studies of wind energy projects require knowledge of the wind energy resource over large areas (that is, areas of the order of 10’000 km2 and greater). One approach to detail this wind resource is the use of mesoscale numerical weather prediction models. In this paper, the mesoscale Weather Research and Forecasting (WRF) model is used to examine the effect of horizontal grid resolution on the fidelity of the predictions of the wind resource. The simulations are made for three test cases, Switzerland (land area 39’770 km2), Iowa (land area 145,743 km2) and Oregon (land area 248’647 km2), representing a range of terrain types, from complex terrain to flat terrain, over the period from 2006–2010. On the basis of comparisons to the data from meteorological masts and tall communication towers, guidelines are given for the horizontal grid required in the use of mesoscale models of large area wind resource assessment, especially over complex terrain.

scholarly journals On the Wind Energy Resource above High-Rise Buildings

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3641 ◽  
Author(s):  
Giulio Vita ◽  
Anina Šarkić-Glumac ◽  
Hassan Hemida ◽  
Simone Salvadori ◽  
Charalampos Baniotopoulos
Keyword(s):  
Wind Tunnel ◽  
Wind Energy ◽  
Wind Turbines ◽  
Energy Resource ◽  
Flow Characteristics ◽  
Improve Performance ◽  
High Rise ◽  
Positioning Strategy ◽  
Large Length ◽  
Meaningful Data

One of the main challenges of urban wind energy harvesting is the understanding of the flow characteristics where urban wind turbines are to be installed. Among viable locations within the urban environment, high-rise buildings are particularly promising due to the elevated height and relatively undisturbed wind conditions. Most research studies on high-rise buildings deal with the calculation of the wind loads in terms of surface pressure. In the present paper, flow pattern characteristics are investigated for a typical high-rise building in a variety of configurations and wind directions in wind tunnel tests. The aim is to improve the understanding of the wind energy resource in the built environment and give designers meaningful data on the positioning strategy of wind turbines to improve performance. In addition, the study provides suitable and realistic turbulence characteristics to be reproduced in physical or numerical simulations of urban wind turbines for several locations above the roof region of the building. The study showed that at a height of 10 m from the roof surface, the flow resembles atmospheric turbulence with an enhanced turbulence intensity above 10% combined with large length scales of about 200 m. Results also showed that high-rise buildings in clusters might provide a very suitable configuration for the installation of urban wind turbines, although there is a strong difference between the performance of a wind turbine installed at the centre of the roof and one installed on the leeward and windward corners or edges, depending on the wind direction.

Design of an Extra-Tall Wind Resource Assessment for the Complex Terrain of the Western Appalachian Ohio Foothills

2010 ◽  
Author(s):  
Carole A. Womeldorf
Keyword(s):  
Wind Energy ◽  
Complex Terrain ◽  
Energy Resource ◽  
Gis Mapping ◽  
Validation Data ◽  
Scale Assessment ◽  
Wind Resource ◽  
Meso Scale ◽  
Tall Tower ◽  
Appalachian Ohio

Wind resource assessments are an essential part of successful wind energy development. Currently, wind energy resource predictions for Appalachian Ohio are based on large-scale meteorological models with sparse, low-lying validation data that poorly characterize the wind given southeastern Ohio’s complex terrain. State and federal policies, today’s energy economics, and current and future wind energy and transmission technology suggest that a meso-scale assessment to identify the best of the Appalachian Ohio wind resource is worthwhile. The Wind Energy and Assessment Visualization (WEAV) is a meso-scale assessment strategy that combines three components: tall tower wind measurements, regional terrain and surface roughness GIS mapping and a computational fluid dynamics wind simulator designed for complex terrain. The wind measurement component is described here. Up to and above top current blade heights wind characteristics, including wind speed and direction at six heights, temperature at three heights, and barometric pressure and relative humidity at hub height, are being acquired every 10 minutes on the WOUB 262-meter (800-ft) communications tower for two years. This data, together with regional terrain characteristics will be top quality inputs into a wind simulator and enable modeling of the wind resource across a 2000 square mile (5,200 km2) complex terrain region. Advantages of the WEAV strategy include improved measurement of wind shear and velocities, long-term characterization of the free stream velocity field, and much broader domains of assessment. The following is a description of the motivation for and advantages of this type of study, details of the design, installation, and challenges of an extra-tall tower wind characterization, and preliminary results documenting the boom design’s tower shadow minimization.

scholarly journals Large-eddy simulation of thermally stratified forest canopy flow for wind energy studies purposes

2017 ◽  
Vol 136 ◽  
pp. 501-506 ◽  
Author(s):  
José C. Lopes da Costa ◽  
Fernando A. Castro ◽  
C. Silva Santos
Keyword(s):  
Large Eddy Simulation ◽  
Wind Energy ◽  
Forest Canopy ◽  
Canopy Flow ◽  
Eddy Simulation ◽  
Large Eddy

scholarly journals Exploring the Grid Value of Offshore Wind Energy in Oregon

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4435
Author(s):  
Travis C. Douville ◽  
Dhruv Bhatnagar
Keyword(s):  
Wind Energy ◽  
Cost Model ◽  
Energy Resource ◽  
Energy Resources ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Renewable Energy Resources ◽  
Energy Potential ◽  
Resource Complementarity ◽  
Wind Energy Potential

The significant offshore wind energy potential of Oregon faces several challenges, including a power grid which was not developed for the purpose of transmitting energy from the ocean. The grid impacts of the energy resource are considered through the lenses of (i) resource complementarity with Variable Renewable Energy resources; (ii) correlations with load profiles from the four balancing authorities with territory in Oregon; and (iii) spatial value to regional and coastal grids as represented through a production cost model of the Western Interconnection. The capacity implications of the interactions between offshore wind and the historical east-to-west power flows of the region are discussed. The existing system is shown to accommodate more than two gigawatts of offshore wind interconnections with minimal curtailment. Through three gigawatts of interconnection, transmission flows indicate a reduction of coastal and statewide energy imports as well as minimal statewide energy exports.

Climate change impacts on the future offshore wind energy resource in China

2021 ◽  
Author(s):  
X. Costoya ◽  
M. deCastro ◽  
D. Carvalho ◽  
Z. Feng ◽  
M. Gómez-Gesteira
Keyword(s):  
Climate Change ◽  
Wind Energy ◽  
Energy Resource ◽  
Climate Change Impacts ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
The Future

scholarly journals Offshore Wind Energy Resource Assessment across the Territory of Oman: A Spatial-Temporal Data Analysis

2021 ◽  
Vol 13 (5) ◽  
pp. 2862
Author(s):  
Amer Al-Hinai ◽  
Yassine Charabi ◽  
Seyed H. Aghay Kaboli
Keyword(s):  
Data Analysis ◽  
Wind Energy ◽  
Wind Turbines ◽  
Energy Resource ◽  
Wind Farms ◽  
Offshore Wind ◽  
Wind Data ◽  
Offshore Wind Energy ◽  
Offshore Wind Turbines ◽  
Wind Potential

Despite the long shoreline of Oman, the wind energy industry is still confined to onshore due to the lack of knowledge about offshore wind potential. A spatial-temporal wind data analysis is performed in this research to find the locations in Oman’s territorial seas with the highest potential for offshore wind energy. Thus, wind data are statistically analyzed for assessing wind characteristics. Statistical analysis of wind data include the wind power density, and Weibull scale and shape factors. In addition, there is an estimation of the possible energy production and capacity factor by three commercial offshore wind turbines suitable for 80 up to a 110 m hub height. The findings show that offshore wind turbines can produce at least 1.34 times more energy than land-based and nearshore wind turbines. Additionally, offshore wind turbines generate more power in the Omani peak electricity demand during the summer. Thus, offshore wind turbines have great advantages over land-based wind turbines in Oman. Overall, this work provides guidance on the deployment and production of offshore wind energy in Oman. A thorough study using bankable wind data along with various logistical considerations would still be required to turn offshore wind potential into real wind farms in Oman.

Short term wind energy resource prediction using WRF model for a location in western part of Turkey

2021 ◽  
Vol 13 (1) ◽  
pp. 013303
Author(s):  
Elcin Tan ◽  
S. Sibel Mentes ◽  
Emel Unal ◽  
Yurdanur Unal ◽  
Bahtiyar Efe ◽  
...  
Keyword(s):  
Wind Energy ◽  
Energy Resource ◽  
Wrf Model ◽  
Short Term ◽  
Resource Prediction
Sign in / Sign up

Export Citation Format

Share Document